PROFILE SUMMARY
As a medical statistician I bring over a decade of extensive experience in analytical skills for
utilizing data driven insights to advance healthcare outcomes. I have a solid background in
statistical methodologies, data analysis, visualization and healthcare research. My skill set
encompasses extraction of meaningful patterns from complex medical datasets that inform decisions, outbreak investigations and comprehensive planning and response.

Key Skills

Advanced analytical skills (R,
Python)

Infectious Disease Modelling

Advanced geo-spatial skills (QGIS, R,
OSM)

Sound scientific writing skills

Leadership and team management

Engagement with international and
local partners and stakeholders

Dashboard designing

ACADEMIC & PROFESSIONAL QUALIFICATIONS

Doctor of Philosophy in Tropical and Infectious Diseases
University of Nairobi, Kenya, 2026
Visiting PhD Researcher
University of Glasgow, Scotland, 2026
Master of Science in Medical Statistics
University of Nairobi, Kenya, 2022
Bachelor of Economics and Statistics
University of Nairobi, Kenya, 2015
Association of Chartered Certified Accountants (ACCA)
Strathmore University, 2012

PROFESSIONAL EXPERIENCE

February 2023 to date:
Data Scientist Research Assistant – The Center for Epidemiological Modelling and Analysis (CEMA) Africa

November 2022 to date:
R assistant instructor Applied Epi – part time

June 2021 – January 2023:
Study Coordinator Kenya Medical Research Institute (KEMRI)

PUBLICATIONS

A global analysis of One Health Networks and the proliferation of One Health
collaborations
https://doi.org/10.1016/S0140-6736(22)01596-3
The nexus between improved water supply and water-borne diseases in urban areas in
Africa: a scoping review
https://doi.org/10.12688%2Faasopenres.13225.1
Impact of traffic congestion on spatial access to healthcare services in Nairobi
https://doi.org/10.3389/frhs.2022.788173
Modelling post exposure prophylaxis vaccine completion and accessibility to support human rabies elimination in Makueni county
http://erepository.uonbi.ac.ke/handle/11295/162656